Data, AI, and Cloud Courses

Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

Learn defensive programming in R to make your code more robust.

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

Learn to detect fraud with analytics in R.

Learn to create animated graphics and linked views entirely in R with plotly.

Learn how to tune your models hyperparameters to get the best predictive results.

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

Predict employee turnover and design retention strategies.

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Use C++ to dramatically boost the performance of your R code.

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

Learn how to transform and analyze data within your Microsoft Fabric account

Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.